Data Analyst

R&D | Tel Aviv

Empirical, a rapidly growing startup in the field of machine learning and behavioral science, is seeking a highly motivated Data Analyst to join the company for a full-time job in Tel-Aviv. This is an opportunity to be a significant member of our data-science team, and to learn and evolve within an interdisciplinary team of professionals from diverse fields (e.g. data science, technology, psychology, and business).

About the Job

Data analysis is the backbone of our work at Empirical. As a data analyst, you will be responsible for ensuring data quality for our customers. You will set the foundation for our data scientists’ work and will be involved in actual analyses and in communicating findings to our clients.

The data and information you will provide will drive actionable decisions both for us and for our clients.  You will collaborate closely with the product team and tech team in order to find the right opportunities that will fuel our product’s quality and growth.

We are seeking a highly outcome-driven person who is passionate about people and data, and believes that “God is in the details.” So, if you’re a people & data person and want to feel the direct influence of your work on a daily basis, join us in advancing how organizations are making people-related decisions.


Minimum Qualifications

  • High proficiency in Excel
  • Highly proficient in English (reading, writing, speaking)
  • Basic knowledge in statistics / research methods
  • Highly methodic and attentive to details
  • Passion for data analysis and research
  • Willingness to work on excel files for extended periods of time

Preferred Qualifications

  • Bachelor's degree in Industrial Engineering/ Psychology/ Statistics or other relevant fields
  • Experience working with BI analytics tools
  • Experience with statistical data analysis and experimental design


  • Work with large amounts of data to draw actionable insights for stakeholders within and outside the company
  • Design and create automated reports and advanced interactive dashboards to promote data-driven decision making
  • Continuous communication with clients regarding data definition and formats
  • Optimization and integration of data from various sources